M.S. Data Science @ Columbia University
Email: tsaiester@gmail.com
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Diffusion models have gained popularity due to their effectiveness in various creative and practical applications. They have been extensively used in text-to-image generation, layout-to-image generation, image inpainting, and resolution enhancement. Our project simplifies the application of diffusion models to a 2D dataset, specifically the Swiss roll dataset, aiming to clarify the mathematical and visual concepts behind how a basic diffusion model operates.
For full results, please view the Research Report.